NASNet
Imagenet classifier and general purpose backbone.
NASNet is a CNN‑based architecture discovered via Neural Architecture Search (NAS) that can classify images from the Imagenet dataset.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:nasnetalarge.tf_in1k
Input resolution:224x224
GMACs:5.9
Activations (M):19.4
Number of parameters:88.7M
Model size (float):338 MB
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
License
Model:APACHE-2.0
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers